Greetings, This is Ryan Cooper (ME professor at University of Connecticut). I've been using Numpy in my mechanical engineering courses for years now, and I'd like to build resources for newcomers to Numpy.
Here is my proposed contribution: Advise engineering students here at UConn to build How-to notebooks for Numpy applications. This would give the students some great experience communicating concepts and procedures to a broader community and it would help future users see how to use Numpy in different applications.
Some How-to's that I had in mind would be:
* Saving and loading Numpy arrays * Doing fast fourier transform (FFT) on time-series data to find natural frequencies * Solving linear sets of equations for circuits or another linear system with linear algebra * using eigenvalues for natural frequency calculations
I'm open to other suggestions. These are some of the applications that I have current students doing in engineering work.
My question is: Would these How-to's be appopriate for the "Numpy Tutorials" (https://github.com/numpy/numpy-tutorials) repo?
My personal opinion is that How-to's are easier to organize and curate (for Numpy) and easier to write (for students).
Best Regards, Ryan
Ryan C. Cooper, Ph. D. Assistant Professor-in-Residence University of Connecticut Mechanical Engineering Department Engineering II, room 314 191 Auditorium rd Storrs, CT 06269 email: email@example.com